Predicting Pediatric Urological Surgery Duration Through Multimodal Patient-Physician Feature Fusion: Deep Learning Framework Incorporating Clinical Text Embedding

Yonggen Zhao   ^{1, 2 *} , BE ;   Ruoge Lin   ^{3 *} , MS ;   Yiying Sun   ^{1, 2 *} , MS ;   Lingdong Chen   ^{1, 2} , MS ;   Jian Huang   ^{1, 2} , PhD ;   Guangjie Chen   ⁴ , MD ;   Zhu Zhu   ^{1, 2 *} , PhD ;   Gang Yu   ^{1, 2} , PhD

¹ National Clinical Research Center for Children and Adolescents' Health and Diseases, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China

² Sino-Finland Joint AI Laboratory for Child Health of Zhejiang Province, Hangzhou, China

³ College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China

⁴ Department of Urology, Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China

*these authors contributed equally